State Estimation Engineer - Data Collection Systems

Requirements:

• 4+ years of experience building multi-sensor fusion and state estimation solutions for dynamic hardware systems.
• Hands-on expertise with both real-time filtering techniques ((E)KFs, sliding-window estimators) and offline batch optimization tools (Factor Graphs, GTSAM, Ceres, Non-Linear Least Squares).
• Proven capability to design fast, reliable calibration, zeroing, and alignment workflows for multi-sensor suites and kinematic models.
• Deep mathematical foundation in 3D spatial kinematics, Lie groups (SE(3), SO(3)), forward/inverse kinematics, and constrained optimization.
• Proven ability to write high-performance, modular C++ for embedded or edge computing platforms alongside Python for data analysis and visualization.
• Bonus Qualifications:
• Experience with low-latency streaming pipelines for teleoperation, haptics, or human-in-the-loop control systems.
• Background in human biomechanics, skeletal tracking, or body-mounted telemetry systems.
• Prior experience applying Machine Learning (ML) techniques to motion priors, trajectory smoothing, or learned state estimation/calibration.
• The US base salary range for this full-time position is between $150,000 and $300,000 annually.
• The pay offered for this position may vary based on several individual factors, including job-related knowledge, skills, and experience. The total compensation package may also include additional components/benefits depending on the specific role. This information will be shared if an employment offer is extended.